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BigQuery Fundamentals for Snowflake Professionals

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery.

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What's inside

Syllabus

BigQuery Architecture and Resource Provisioning

This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between Snowflake and BigQuery architecture and resource provisioning to help you get started with BigQuery.

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Read about what's good

what should give you pause

and possible dealbreakers

Shares similarities with Snowflake, offering an easy transition for experienced SQL users

Focuses on BigQuery fundamentals, making it suitable for beginners new to BigQuery

Taught by Google Cloud Training, known for their expertise in the cloud domain

Covers key concepts like data ingestion, SQL optimization, and schema design

Interactive labs and hands-on exercises provide practical experience

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Reviews summary

Bigquery transition for snowflake professionals

According to students, this course is a largely positive and highly effective resource for professionals transitioning from Snowflake to BigQuery. Learners particularly praise the incredibly helpful comparisons between Snowflake and BigQuery, which are key to understanding the nuances of BigQuery. The hands-on labs are frequently highlighted as crucial for cementing understanding and are often described as practical and well-designed. Students appreciate the clear and structured approach to topics like BigQuery architecture, data ingestion, and SQL in BigQuery, including query optimization and cost control. While generally excellent for its intended audience, some experienced data engineers might find it too fundamental, expecting more advanced topics. Additionally, there are isolated mentions of intermittent lab environment issues, though recent feedback suggests these might be less prevalent.

Provides crucial hands-on experience for practical application.

"...the labs were practical. I particularly appreciated the focus on schema design and query optimization."

"The hands-on exercises cemented my understanding. Highly recommend for professionals."

"The hands-on labs were crucial and worked perfectly. The instructor's explanations were clear and concise."

Effectively bridges the gap between Snowflake and BigQuery.

"As a Snowflake expert, this course was exactly what I needed to quickly get up to speed with BigQuery. The comparisons between Snowflake and BigQuery were incredibly helpful..."

"Good overview of BigQuery. The course effectively highlighted the key differences with Snowflake, which was my primary interest."

"Absolutely fantastic! As someone who lives in Snowflake, this course demystified BigQuery. The module on SQL differences and cost optimization was particularly valuable."

Some learners encountered technical problems with labs.

"I found the labs sometimes glitchy or hard to follow, requiring a bit too much troubleshooting."

"I found some of the lab environments unresponsive, which wasted time."

"The practical application was hindered by unresponsive lab environments for me."

Ideal for fundamentals, not for experienced BigQuery users.

"I came into this course expecting more advanced topics and deep dives into performance tuning beyond the basics... Felt too basic in some areas."

"While it's okay for fundamentals, it's not for experienced data engineers."

"The depth on certain topics like data types and partitioning was just right for an introduction. I would have appreciated more real-world use cases for a 5-star rating."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in BigQuery Fundamentals for Snowflake Professionals with these activities:

Review Database Architecture

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Performing a quick review of database architecture will allow you to better understand the way BigQuery stores and processes your data.

Browse courses on Database Architecture

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Read through a couple of chapters in a database architecture book
Create a simple database architecture diagram

Review SQL Commands

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Reviewing SQL commands will allow you to feel more comfortable working with BigQuery's SQL implementation.

Browse courses on SQL

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Review an online tutorial on SQL
Attempt a few practice problems on LeetCode or a similar platform
Write a few SQL queries to practice your skills

Follow Along With BigQuery Tutorial for Beginners

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BigQuery provides some beginner-friendly tutorials that can help you get started with using the platform.

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Navigate to the following URL: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries
Follow the instructions in the tutorial to create a BigQuery client library in your preferred language
Run the sample code provided in the tutorial

Two other activities

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Complete a Set of BigQuery Practice Problems

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Working through practice problems will help you solidify your understanding of BigQuery's features and functionality.

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Find a set of practice problems online or in a book
Attempt to solve the problems on your own
Check your answers against the provided solutions

Create a Blog Post on Using BigQuery

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Writing a blog post will help you to synthesize your knowledge of BigQuery and share what you've learned with others.

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Choose a topic that you're interested in writing about
Research your topic and gather your thoughts
Write a draft of your blog post
Edit and revise your blog post
Publish your blog post

Career center

Learners who complete BigQuery Fundamentals for Snowflake Professionals will develop knowledge and skills that may be useful to these careers:

Database Administrator

A Database Administrator manages and maintains databases. This course can help someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Database Administrator

Data Analyst

A Data Analyst studies and assesses data to help organizations make informed decisions. This course can help someone interested in this field because the skills learned, such as data ingestion, schema design, and SQL optimization, are all essential for managing and analyzing large datasets in BigQuery. Moreover, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Analyst

Data Scientist / Machine Learning Engineer

A Data Scientist / Machine Learning Engineer uses data to build predictive models and solve business problems. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Scientists / Machine Learning Engineers build efficient and cost-effective models and pipelines.

See salaries and explore the career path for Data Scientist / Machine Learning Engineer

Data Scientist

A Data Scientist uses data to build predictive models and solve business problems. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Scientists build efficient and cost-effective models.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

A Business Intelligence Analyst uses data to identify trends and patterns that can help organizations make better decisions. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Business Intelligence Analysts build efficient and cost-effective dashboards and reports.

See salaries and explore the career path for Business Intelligence Analyst

Database Developer

A Database Developer designs and builds databases. This course can help someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Database Developer

Business Analyst

A Business Analyst uses data to identify trends and patterns that can help organizations make better decisions. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Business Analysts build efficient and cost-effective dashboards and reports.

See salaries and explore the career path for Business Analyst

Data Engineer

A Data Engineer builds and maintains the infrastructure that supports data analytics. This course may be useful for someone interested in this field because the skills learned, such as resource provisioning and workload management, are essential for ensuring the efficient and reliable operation of a BigQuery data warehouse. Moreover, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Engineer

Data Warehouse Architect

A Data Warehouse Architect designs and builds data warehouses. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Warehouse Architect

Cloud Data Engineer

A Cloud Data Engineer designs and builds cloud data solutions. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Cloud Data Engineer

Cloud Architect

A Cloud Architect designs and builds cloud computing solutions. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Cloud Architect

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Software Engineers build efficient and cost-effective data pipelines and applications.

See salaries and explore the career path for Software Engineer

Data Integration Engineer

A Data Integration Engineer designs and builds data integration solutions. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Integration Engineers build efficient and cost-effective data pipelines and integrations.

See salaries and explore the career path for Data Integration Engineer

Big Data Engineer

A Big Data Engineer designs and builds big data solutions. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Big Data Engineers build efficient and cost-effective data pipelines and applications.

See salaries and explore the career path for Big Data Engineer

Data Governance Analyst

A Data Governance Analyst develops and implements data governance policies and procedures. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Governance Analyst

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in BigQuery Fundamentals for Snowflake Professionals.

Data Science on the Google Cloud Platform

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This guide provides a deep dive into BigQuery's architecture, data ingestion, query optimization, and best practices, offering valuable insights for Snowflake professionals transitioning to BigQuery.

BigQuery Fundamentals for Snowflake Professionals

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Bigquery transition for snowflake professionals

Activities

Career center

Reading list

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